LBA generates questions to collect additional data to train a model.
With the development of natural language generation methods, several studies using question generation to acquire the information necessary to solve a task (e.g., reading comprehension [1]}, [2]} or question answering [3]}) have been conducted.
In addition, in vision-and-language fields, LBA is applied to VQA tasks [4]} or image captioning tasks [5]}.
However, our research is the first attempt to apply LBA to a novel object recognition task, which is a more real-world-oriented visual recognition task.
